101 to 125 of 896 Python Jobs in London

Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js, Golang Strong networking fundamentals, especially OSI layer 3+ and distributed performance optimisation. Experience operating global/multi-region cloud infrastructure, navigating cost, risk, and data

Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js, Golang Strong networking fundamentals, especially OSI layer 3+ and distributed performance optimisation. Experience operating global/multi-region cloud infrastructure, navigating cost, risk, and data

building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices.

schema design. Experience with other ETL tools (Informatica, Talend, SSIS) is a plus. Advanced SQL for querying and data manipulation. Familiarity with Java, Python, or VBA for scripting and automation. Knowledge of RESTful APIs and various database systems. Skills in data profiling, data analysis, and ensuring data quality. Experience

week on site. Key Skills and Experience Experienced working within Financial Services Environments. Strong Experience of working with: Kubernetes Docker AWS Git/Gitlab Python Terraform. Any Experience of Syntasso Kratix would be highly advantageous. Experience of working with any of the following would be advantageous. Flux Helm Charts Kyverno

Proven track record building CI/CD pipelines and infrastructure-as-code. Experience developing and supporting production-grade applications in languages such as Java, Python or C#. Technical leadership in a specialist domain (e.g., containers, data platforms, cloud networking). Experience working in regulated environments with a focus on security

Youll thrive here if you have: Strong experience as a Software Architect is must. Hands-on expertise with modern stacks (for example: Java, .NET, Python, Node.js, Go, etc.) Solid understanding of microservices, distributed systems, APIs Experience with cloud environments such as AWS/Azure/GCP Familiarity with Docker, Kubernetes

concepts using wireframing tools to demonstrate functionality to stakeholders. Provide technical support for production systems as needed. Skills Proficiency in C#, .NET 8, Python, RESTful APIs, and microservices architecture. Strong Front End development experience using Nextjs/React/Typescript, with familiarity in wireframing tools (eg, Figma). Hands

impact and difference to the project. Skills and experience required Experience of back-end/data engineering across a number of languages (including Python), and commonly used IDE's Experience with developing, scheduling, maintaining and resolving issues with batch or micro-batch jobs on AWS ETL or Azure ETL services

impact and difference to the project. Skills and experience required Experience of back-end/data engineering across a number of languages (including Python), and commonly used IDE's Experience with developing, scheduling, maintaining and resolving issues with batch or micro-batch jobs on AWS ETL or Azure ETL services

Proven experience as a Cloud DevOps Engineer, Platform Engineer, or similar role. Strong understanding of cloud security and compliance in financial services. Proficiency in Python for automation and API integration. Hands-on experience with routing protocols and high-availability architectures. Expertise in Infrastructure-as-Code and modern DevOps methodologies. Solid

with Azure Data Services: Data Factory, Databricks, Synapse, Data Lake, Azure SQL. Strong understanding of data modeling, data warehousing, and distributed computing. Proficiency in Python, SQL, and Spark for data engineering tasks. Financial Services Domain Proven track record of delivering data solutions within banking, insurance, or investment sectors. Familiarity with

experience with Microsoft Fabric, especially around data engineering and warehousing workflows. Familiarity with Azure DevOps for CI/CD and deployment. Expertise in SQL, Python, PowerShell, DAX and M. Solid understanding of the modern data engineering lifecycle and best practices. Experience working within agile teams. My client is looking

experience with Microsoft Fabric, especially around data engineering and warehousing workflows. Familiarity with Azure DevOps for CI/CD and deployment. Expertise in SQL, Python, PowerShell, DAX and M. Solid understanding of the modern data engineering lifecycle and best practices. Experience working within agile teams. My client is looking

such asKubernetes, ECS or serverless application design with AWSLambda? Experience supporting large production services? Proficiency in at least one programming language (we use Rubyand Python)? Strong Git skills? Experience of creating pipelines in a CI/CD tool like GithubActions or AWS Codepipeline? A strong understanding of security principles

Lambda) Knowledge of data modelling and performance tuning Excellent analytical and problem-solving skills Ability to work within secure government environments Desirable: Experience with Python for data manipulation Familiarity with BI tools and reporting frameworks Reasonable Adjustments: Respect and equality are core values to us. We are proud

Required Skills & Experience: Extensive experience in frontend technologies (e.g., Vue.js, React) with a focus on UI/UX. Proven backend expertise, particularly with Java (Python, Node.js a plus), and experience building distributed microservices-based architectures. Strong knowledge of system design principles, scalable architecture patterns, and API design. Hands-on experience

years in data engineering roles. 3+ years hands-on experience with Snowflake. 2+ years production experience with dbt (mandatory). Advanced SQL and strong Python programming skills. Experience with Git, CI/CD, and DevOps practices. Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure). Knowledge

years in data engineering roles. 3+ years hands-on experience with Snowflake. 2+ years production experience with dbt (mandatory). Advanced SQL and strong Python programming skills. Experience with Git, CI/CD, and DevOps practices. Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure). Knowledge

support senior stakeholders Hands on experience debugging and supporting distributed systems in production Experience with at least one scripting language such as Bash, Python, Go or Powershell Active SC or DV clearance, with DV preferred This is a London based hybrid role with regular time on site. If you have

support senior stakeholders • Hands on experience debugging and supporting distributed systems in production • Experience with at least one scripting language such as Bash, Python, Go or Powershell • Active SC or DV clearance, with DV preferred This is a London based hybrid role with regular time on site. If you have

breaking things Very good written and verbal skills in English The following will be considered an advantage: Experience with programming languages C# or Python Experience with GRPC networking and protocol buffers Use of Robot automated testing framework DevOps skills - Docker, Helm, Terraform Knowledge of unit-testing, asynchronous programming, or profiling

essential. Senior Platform Engineer - Key Skills & Experience: Solid background in software engineering, with significant platform or backend experience Proficiency in Go, Java, or Python for building internal tools and services Strong expertise in AWS, including CloudFront and related web application services Hands-on experience with CI/CD pipelines

designers to inform secure, deployable AI solutions Key Skills & Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical

equivalent practical experience At least 7 years of experience using data science to solve complex problems Experience with database languages such as SQL and python scripting Strong understanding of cloud-based architecture (GCP, AWS) Demonstrated ability to incorporate AI models into data workflows Preferred Candidate Requirements Experience with subsurface